Senior Software Engineer - Agentic AI Engineer at Capgemini
Nashville, TN
$73,150–$174,000from the description
Aug 18, 2026
Nashville, TN
Sep 25, 2026
What this job asks for AI summary
This role focuses on building intelligent, agentic AI systems on Google Cloud — primarily using Vertex AI Agent Builder, multi-agent frameworks, and related GCP data services. The engineer will design and implement end-to-end AI workflows, streaming data pipelines, and real-time inference systems, connecting agents to enterprise databases. It suits an experienced ML/AI engineer with deep GCP and Python expertise who is comfortable at the intersection of software engineering and applied machine learning.
Senior level · 10+ years · Nashville-Davidson--Murfreesboro--Franklin, TN · Full-time
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Roughly 10 people in the Nashville-Davidson--Murfreesboro--Franklin, TN area plausibly meet what this posting asks for (software developers). range 4–20
Applicant volume Light — Few people clear these requirements, so an application that does clear them gets looked at. Worth applying to even if you miss a nice-to-have.
Rare in this occupation — lead with these, and say what you built with them.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $129,394 (middle half $101,208–$143,252). This posting is about at that midpoint.
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Aug 20, 2026. It is a model, not a headcount.
Why we read it this way (5)
The posting lists four possible work locations (Dallas TX, Atlanta GA, Chicago IL, Nashville TN); Nashville is used as the primary CBSA because it is the location cited in the posting's metadata, but candidates in any of those metros may be eligible.
The role blends software engineering (agent/pipeline development) with ML engineering (model training, tuning, evaluation, feature engineering), making it a genuine hybrid between Software Developers and Data Scientists; Software Developers was chosen because the primary deliverables are working agentic systems and data pipelines rather than statistical modeling or research.
Skills such as Dataflow, Spanner, AlloyDB, and MCP Toolbox appear in the responsibilities narrative rather than the explicit requirements section, so they are marked as preferred.
The compensation range ($73,150–$174,000/year) is explicitly described as a broad minimum-to-maximum target; the posting notes it is not typical to be hired near the top of the range.
Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): Vertex AI Agent Builder.
Read the full posting
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